Overview: Generalized linear mixed models are widely used in medicine, agriculture, social sciences and others. In this paper a methodology is proposed to interpret subject-specific curves in a logistic model with random effects applied to a longitudinal study. The proposal is to interpret the subject-specific curves across time as percentiles of a distribution that depends on the values of the random effects variance and the covariate parameters.